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End of training

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  1. .gitattributes +15 -0
  2. README.md +19 -0
  3. checkpoint-1000/lora_ema.pth.tar +3 -0
  4. checkpoint-1000/optimizer.bin +3 -0
  5. checkpoint-1000/pytorch_model.bin +3 -0
  6. checkpoint-1000/random_states_0.pkl +3 -0
  7. checkpoint-1000/scaler.pt +3 -0
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  9. checkpoint-10000/lora_ema.pth.tar +3 -0
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  11. checkpoint-10000/pytorch_model.bin +3 -0
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  18. checkpoint-11000/random_states_0.pkl +3 -0
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  31. checkpoint-13000/scaler.pt +3 -0
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  33. checkpoint-14000/lora_ema.pth.tar +3 -0
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  42. checkpoint-15000/random_states_0.pkl +3 -0
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  45. checkpoint-2000/lora_ema.pth.tar +3 -0
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  48. checkpoint-2000/random_states_0.pkl +3 -0
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.gitattributes CHANGED
@@ -32,3 +32,18 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - Alvinyz/lora-cube
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+
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